BotYue's Stars
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
snap-stanford/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
jiachenli94/Awesome-Interaction-Aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
alibaba/graph-learn
An Industrial Graph Neural Network Framework
GeorgeDu/vision-based-robotic-grasping
Related papers and codes for vision-based robotic grasping
Farama-Foundation/Metaworld
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
dsgiitr/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
stepjam/RLBench
A large-scale benchmark and learning environment.
microsoft/tf-gnn-samples
TensorFlow implementations of Graph Neural Networks
woven-planet/l5kit
L5Kit - https://woven.toyota
wangyouze/GNN-algorithms
图神经网络相关算法详述及实现
reinforcement-learning-kr/lets-do-irl
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
visual-ml-notes/visual-machine-learning-notes
Machine Learning Conference & Summer School Notes. 🦄
Jhy1993/Representation-Learning-on-Heterogeneous-Graph
Representation-Learning-on-Heterogeneous-Graph
SivilTaram/Graph-Neural-Network-Note
A blog for understanding graph neural network
vuptran/graph-representation-learning
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
dqwang122/HeterSumGraph
Code for ACL2020 paper "Heterogeneous Graph Neural Networks for Extractive Document Summarization"
vita-epfl/trajnetplusplusbaselines
[ITS'21] Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
qzed/irl-maxent
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
interaction-dataset/interaction-dataset
Interaction Dataset Python Scripts
StanfordASL/Trajectron
Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.
higgsfield/interaction_network_pytorch
Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics
tegg89/magnet
MAGNet: Multi-agents control using Graph Neural Networks
jfpower/anfis-pytorch
Implementation of ANFIS using the pyTorch framework
alexmonti19/dagnet
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
guicho271828/latplan
LatPlan : A domain-independent, image-based classical planner
vita-epfl/trajnetplusplustools
Tools for TrajNet++
vita-epfl/trajnetplusplusdata
Data for TrajNet++ Challenge
vjg28/Linear-Inverse-RL-algorithms
Implementation of Linear Inverse Reinforcement Learning Algorithm (IRL) on Mountain Car Environment.
ctyeong/ReTLo